Search Results for author: Xiling Yao

Found 3 papers, 0 papers with code

In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review

no code implementations21 Apr 2024 Lequn Chen, Guijun Bi, Xiling Yao, Jinlong Su, Chaolin Tan, Wenhe Feng, Michalis Benakis, Youxiang Chew, Seung Ki Moon

Future directions are proposed, with an emphasis on multimodal sensor fusion for multiscale defect prediction and fault diagnosis, ultimately enabling self-adaptation in LAM processes.

Benchmarking Decision Making +2

Multimodal sensor fusion for real-time location-dependent defect detection in laser-directed energy deposition

no code implementations23 May 2023 Lequn Chen, Xiling Yao, Wenhe Feng, Youxiang Chew, Seung Ki Moon

Traditional in-situ monitoring approach utilizes a single sensor (i. e., acoustic, visual, or thermal sensor) to capture the complex process dynamic behaviors, which is insufficient for defect detection with high accuracy and robustness.

Defect Detection Sensor Fusion

Multisensor fusion-based digital twin in additive manufacturing for in-situ quality monitoring and defect correction

no code implementations12 Apr 2023 Lequn Chen, Xiling Yao, Kui Liu, Chaolin Tan, Seung Ki Moon

Early detection and correction of defects are critical in additive manufacturing (AM) to avoid build failures.

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